Heckyl has integrated RBI Alert screen in Risk Analytics System (RAS) which helps in the monitoring critical red flags defined by the central banks.
As per the RBI guidelines, the banks should have system which enables them to effectively monitor critical red flags on the portfolio companies. Some of the red flag alerts that the central bank has asked the banks to monitor are:
> Default in payment or bouncing of the high value cheques
> Raid by Income tax officials or other government authorities
> Escalation in project cost
> Resignation of the key personnel and frequent changes in the management
> Reduction in the stake of promoter / director
Our system has flagged news alerts on Eon Electric Ltd for default on payment of interest and repayment of principal amount under RBI Alert screen.
Publically available data from Employees’ Provident Fund Organization (EPFO) is an important piece of information that can be consumed in risk assessment of corporate borrowers. In our view, deep-dive analytics on EPFO data can offer unique insights into the company’s functioning.
Through analysis of EPFO data, the banks can find out whether the companies in their loan portfolio are depositing employees’ provident fund (PF) on time or not; and whether there is any significant drop in the PF amount deposited by the company. At the same time, lenders can also identify companies which are downsizing the workforce.
FiND Credit Risk Early Warning System (EWS) consists of 25+ business rules that analyze the EPFO data for the companies every month. One of the key business rules is a delay in PF payment for a given month. In our view, a delay in PF payment may imply liquidity crunch for the company and hence it is a red flag for the banks.
Our hypothesis is that red flags related to PF payment can act as a leading indicator to the deterioration in the company’s financial performance. To test this hypothesis, we back-tested our engine on EPFO data for three months (Jan-17, Feb-17, and Mar-17) on the below-mentioned business rule:
Delay in monthly payment of PF by more than 10 days for more than 50 employees
From our EPFO data universe of 1,250+ companies, FiND EWS identified 35 companies who have delayed PF payment for all 3 months.
Then, we checked if there is any deterioration in the financial performance (captured by FiND Financial Risk score) for these companies post-March 2017 quarter.
We found that: 86% of companies (30/35) witnessed a deterioration in Financial Risk score in the subsequent quarters.
We highlight 10 such companies below:
[Image 1: Financial Risk Score for 10 Companies with PF red flags] Read the rest of this entry »
Promoter ownership data is an important piece of information that can be consumed in risk assessment of corporate borrowers. This is because steep fall in promoter ownership could mean low confidence of promoters in their own company. Moreover, promoter equity dilution may also invite a change in management.
Our hypothesis is that promoter ownership related red flags such as a significant drop in promoter shareholding can act as a leading indicator to the deterioration in the company’s financial performance.
To test this hypothesis, we back-tested business rule output derived from FiND Credit Risk Early Warning System for all listed companies. Our back-testing has shown 298 promoter ownership related red flags for 232 companies for the March 2016 quarter.
As a next step, we have checked if there is any deterioration in the company’s performance captured by our Financial Risk score for these 232 companies over the last 2 years.
We found that: 85% of companies witnessed a deterioration in Financial Risk score in the subsequent quarters.
Heckyl Credit Risk Early Warning System has identified 50+ companies with a long working capital cycle based on analysis of 1,012 companies’ balance sheet for FY16 and FY17. The longer working capital cycle puts pressure on company’s cash flows and may result in higher short term debt. Hence, long working capital cycle is a red-flag for lenders.
Heckyl system captures company related red-flags based on a variety of business rules. Financial data is one of the important data points in the assessment of credit risk. Heckyl EWS consists of thousands of business rules that analyze the financial data.